Instructions to use connectivity/bert_ft_qqp-93 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/bert_ft_qqp-93 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/bert_ft_qqp-93")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/bert_ft_qqp-93") model = AutoModelForSequenceClassification.from_pretrained("connectivity/bert_ft_qqp-93", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
39d8bc5
1
Parent(s): 1746a6d
Saving weights and logs of step 20000
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 438017325
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bee29c7efd8ddf979fef162651e18a58e259fb03ded9448b44f0bd5f378cd9f3
|
| 3 |
size 438017325
|